Top Engineering Jobs in Edinburgh

Designs, develops, and tests core development infrastructure, libraries, and frameworks. Establishes systems software engineering policies, standards, and procedures. Uses operating-system tools and services to diagnose and resolve issues between user-space applications and underlying operating systems. Performs root-cause analysis for service interruptions and helps restore services after resolution.

Design, build, and operate cloud-native AI infrastructure and platform services to support model development, training, evaluation, and inference. Implement IaC and automation, enable ML/LLM production deployments within governed enterprise environments, build observability and monitoring, collaborate with security and cross-functional partners, and support on-call/operational duties.

Leads a distributed team of Site Reliability and Backend Engineers responsible for GitLab.com's asynchronous processing and caching platforms. Owns reliability, service-level objectives, capacity planning, incident response, on-call operations, Redis upgrades, operating system patching, deployment architecture, and migration to a durable workflow engine. Manages hiring, development, quarterly planning, roadmap execution, and coordination across globally distributed teams.

Manage a team of machine learning engineers developing credit and lending models for international markets. Set technical strategy, guide advanced ML solutions, partner with product, engineering, analytics, design, and risk teams, and ensure scalable underwriting capabilities. Provide hands-on technical leadership, clarify complex problems, manage trade-offs, and mentor engineers while contributing to Affirm’s long-term machine learning strategy.

Leads technical development engineering for battery energy storage projects, including due diligence, grid connections, equipment procurement, planning, financing inputs, construction support, performance testing, and asset optimization. Manages technical advisers, contractors, suppliers, lenders’ engineers, and internal stakeholders across acquisitions, development, construction, and operations. Requires substantial power generation or storage experience, strong Li-Ion battery and systems engineering expertise, and frequent travel.

AECOM is seeking ground engineering, geotechnical, engineering geology, tunnel, and structural engineering professionals at all levels across the UK. Responsibilities include delivering ground engineering and tunnelling projects, applying relevant technical standards and design codes, supporting projects from concept through operation, leading teams appropriately to experience, and contributing to innovative infrastructure solutions. Candidates need a relevant engineering or geology degree, project experience, willingness to travel throughout the UK, and a clean driving licence.

Manage a distributed team of senior and staff engineers developing and scaling Gitaly, GitLab’s Git storage tier. Drive complex infrastructure, performance, scalability, architecture, and maintainability initiatives while balancing roadmap and platform priorities. Provide mentoring, career development, technical guidance, and accountability. Collaborate asynchronously with Git and cross-functional teams, represent Gitaly’s technical direction, and ensure long-term platform viability through sound architectural judgment.

Leads the engineering organization responsible for GitLab Dedicated, a single-tenant enterprise SaaS platform. Owns strategy, roadmap, reliability, compliance, infrastructure investments, customer migrations, and enterprise-grade SLAs. Oversees distributed engineering managers and teams across orchestration, resilience, control-plane APIs, public-sector platforms, FedRAMP readiness, AWS GovCloud, and migration tooling. Partners with executives, Product, Security, and Support while scaling the organization, improving operational efficiency, and incorporating AI-enabled engineering workflows.

Freelance engineering subject matter experts will review and redevelop Level 4 International Year One Engineering modules, create and review teaching resources, assess VLE course builds, deliver teacher webinars, and contribute to consultations and training. Candidates need relevant engineering qualifications, current teaching experience, strong subject knowledge, understanding of international education and qualification development, and confidence teaching online.

Lead and grow engineering teams building blockchain and Web3 products. Drive technical strategy, architecture, delivery, quality, hiring, mentoring, and engineering processes to ensure reliable product delivery and team scaling.

Leads Supabase’s globally distributed Realtime engineering team, balancing people management, hiring, roadmap delivery, technical quality, reliability, support, and incident response. The role manages a low-latency Elixir and Phoenix service supporting Broadcast, Presence, and Postgres Changes. Responsibilities include coaching engineers, managing performance and career development, prioritizing work, maintaining service-level objectives, coordinating incidents, and driving blameless post-incident improvements.

Leads the Pipelines engineering team, overseeing people management, hiring, roadmap delivery, project prioritization, support workflows, SLOs, and incident response. The role requires technical credibility in Postgres replication, data pipelines, streaming systems, analytical destinations, and customer-facing data products. The manager builds a healthy remote team, coaches engineers, manages performance, coordinates incidents, communicates risks, and drives blameless post-incident improvements.

Leads one engineering team while co-owning the product roadmap with a Product Manager. Owns delivery predictability, technical quality, architecture, SLOs, operational health, budget, hiring, and headcount planning. Remains hands-on through code reviews, pairing, and technical trade-off decisions. Coaches and develops engineers, establishes team goals, and drives adoption of AI tooling and practices.

Lead and develop a team of 5–6 analytics engineers while contributing hands-on to data warehouse architecture, pipeline development, technical reviews, and governance. Prioritize and deliver central analytics engineering projects, establish data best practices, support hiring, partner with business collectives, and provide occasional out-of-hours pipeline support.

Build and operate production-grade LLM applications, agentic workflows, RAG and retrieval pipelines, AI memory architectures, and evaluation harnesses. Deploy and monitor AI services using cloud infrastructure, containers, APIs, and MLOps platforms. Configure AI gateways, manage model routing and costs, secure integrations, and optimize serving architectures. Collaborate with product, engineering, SRE, security, and software teams to deliver scalable AI capabilities.

Provides technical support to onshore wind operations and maintenance teams. Responsibilities include turbine performance analysis, fault investigation, engineering solutions, operational documentation, manufacturer standard reviews, HSQE incident investigations, root cause analysis, safety compliance, client support, and technical coaching. The role requires wind turbine experience, electrical and mechanical fault-finding knowledge, engineering qualifications, GWO training, prior appointment under Wind Turbine Safety Rules, and a full UK driving licence.

Provides documentation support for wind operations and maintenance across the UK and Ireland. Develops, reviews, updates, translates, and controls operational procedures, work instructions, method statements, and maintenance documentation in compliance with Wind Turbine Safety Rules. Collaborates with technicians, engineers, and operations managers, delivers technical briefings, supports continuous improvement, and maintains Authorising Engineer status. The role requires wind turbine technology experience, mechanical or electrical engineering knowledge, health and safety qualifications, GWO training, and a UK driving licence.

Lead and build a new platform engineering team responsible for cloud-agnostic deployments across AWS, other clouds, private cloud, and on-premises environments. Own Kubernetes infrastructure, Terraform, GitOps, CI/CD, observability, reliability, compliance automation, FinOps, and AI/ML infrastructure. Hire and develop engineers, establish operating standards, support SOC 2, ISO 27001, and GDPR controls, and deliver portable, secure, auditable platform foundations for data catalog, knowledge graph, and integration services.

Lead the distributed Cards engineering organization across the UK, EU, and India. Set technical strategy and architecture, improve reliability, scalability, productivity, and cost efficiency, and oversee card issuing and processing integrations. Develop engineering managers and senior engineers, embed AI-assisted development practices, manage processor and scheme relationships, and partner with Product, Design, Commercial, and Finance teams on roadmap execution and business outcomes.

Owns n8n’s agent-centric development platform strategy and implementation. Builds secure sandboxed execution environments, integrates AI agents with Linear, GitHub, CI, testing, and code review, and makes decisions around permissions, secrets, reliability, and human oversight. Establishes benchmarks and adoption metrics to measure quality and impact, drives technical direction across teams, and helps scale agentic workflows across the engineering organization.

Perform aerodynamic and CFD analyses, build meshes and solver-ready cases, define simulation settings, automate workflows with Python, and validate numerical and physical results. Responsibilities include calculating lift and drag, evaluating convergence and mesh quality, diagnosing unstable or invalid simulations, selecting modeling assumptions, and documenting technical methodologies. The role supports an AI training project and requires strong fluid mechanics, aerodynamics, computational analysis, and programming expertise.

Design and evaluate rigorous hardware engineering problems for AI training projects. Develop reference solutions using calculations, simulations, Python scripts, and experimental reasoning. Model and validate hardware systems against physical test data, create verification methodologies, investigate failures, and document reproducible technical solutions. The role requires substantial hardware engineering ownership, strong programming ability, quantitative reasoning, and mandatory hands-on experience with AI Coding Agents.

Leads the M&S Cloud Platform engineering team building AI engineering platforms, reusable pipelines, tooling, plugins, frameworks, and developer self-service capabilities. Responsibilities include technical strategy, platform ownership, architecture, DevOps, reliability, vendor management, recruitment, talent development, and line management of senior engineers. The role contributes code while driving engineering excellence, operational reliability, strategic alignment, and improved developer experience across more than 200 engineers and 30 applications.

Act as the bridge between Axis and consultant/specifier communities across the Midlands and South West UK. Build and manage A&E programme relationships, advise on product specifications, train on Axis design tools, create thought leadership, align activities with sales to generate pipeline, and collaborate with global A&E peers to share best practices.

Leads and grows a machine learning engineering team responsible for production ML infrastructure, automated training, model evaluation, MLOps pipelines, observability, and low-latency model serving. Provides technical architecture guidance, partners with product and data teams on roadmaps, promotes engineering best practices, and supports technical hiring. The role focuses on reliable ML systems processing large, real-time datasets, with potential emphasis on streaming, time-series, and spatial-temporal applications.